Formally drop python 3.8 support

[justinchuby]

Python 3.8 has reached EOL.

Fix #2233

[codecov]

❌ 35 Tests Failed:

Tests completed	Failed	Passed	Skipped
15020	35	14985	2703

View the top 3 failed test(s) by shortest run time

::onnxscript.function_libs.torch_lib.graph_building.__init__

Stack Traces | 0s run time

.../torch_lib/graph_building/__init__.py:44: in <module>
    from ._graph_building_torch import (
.../torch_lib/graph_building/_graph_building_torch.py:28: in <module>
    from onnxscript.function_libs.torch_lib.ops import common as common_ops
.../torch_lib/ops/__init__.py:16: in <module>
    from . import (
.../torch_lib/ops/core.py:961: in <module>
    def aten_atleast_1d_sequence(self: Sequence[TTensor]) -> TTensor:
.../function_libs/torch_lib/registration.py:131: in wrapper
    processed_func = onnxscript.script(opset=custom_opset)(func)
onnxscript/main.py:95: in transform
    result = script_check(f_ast, opset, env, src, default_opset=default_opset)
onnxscript/main.py:39: in script_check
    return convert.translate_function_def(f)
onnxscript/converter.py:1437: in translate_function_def
    fn_ir = self._translate_function_def_common(stmt)
onnxscript/converter.py:1422: in _translate_function_def_common
    _ = self._translate_function_signature_common(fn)
onnxscript/converter.py:1375: in _translate_function_signature_common
    if not ta.is_valid_type(typeinfo):
onnxscript/type_annotation.py:187: in is_valid_type
    return is_value_type(typeinfo) in {True, False}
onnxscript/type_annotation.py:145: in is_value_type
    if _is_tensor_type(typeinfo):
onnxscript/type_annotation.py:135: in _is_tensor_type
    if inspect.isclass(typeinfo) and issubclass(typeinfo, onnx_types.TensorType):
.../Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/abc.py:123: in __subclasscheck__
    return _abc_subclasscheck(cls, subclass)
E   TypeError: issubclass() arg 1 must be a class

::onnxscript.function_libs.torch_lib.ops.special

Stack Traces | 0s run time

....../Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
<frozen importlib._bootstrap>:1050: in _gcd_import
    ???
<frozen importlib._bootstrap>:1027: in _find_and_load
    ???
<frozen importlib._bootstrap>:992: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:241: in _call_with_frames_removed
    ???
<frozen importlib._bootstrap>:1050: in _gcd_import
    ???
<frozen importlib._bootstrap>:1027: in _find_and_load
    ???
<frozen importlib._bootstrap>:1006: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:688: in _load_unlocked
    ???
<frozen importlib._bootstrap_external>:883: in exec_module
    ???
<frozen importlib._bootstrap>:241: in _call_with_frames_removed
    ???
.../torch_lib/ops/__init__.py:16: in <module>
    from . import (
.../torch_lib/ops/core.py:40: in <module>
    from onnxscript.function_libs.torch_lib.ops import common as common_ops
.../torch_lib/ops/__init__.py:16: in <module>
    from . import (
.../torch_lib/ops/core.py:961: in <module>
    def aten_atleast_1d_sequence(self: Sequence[TTensor]) -> TTensor:
.../function_libs/torch_lib/registration.py:131: in wrapper
    processed_func = onnxscript.script(opset=custom_opset)(func)
onnxscript/main.py:95: in transform
    result = script_check(f_ast, opset, env, src, default_opset=default_opset)
onnxscript/main.py:39: in script_check
    return convert.translate_function_def(f)
onnxscript/converter.py:1437: in translate_function_def
    fn_ir = self._translate_function_def_common(stmt)
onnxscript/converter.py:1422: in _translate_function_def_common
    _ = self._translate_function_signature_common(fn)
onnxscript/converter.py:1375: in _translate_function_signature_common
    if not ta.is_valid_type(typeinfo):
onnxscript/type_annotation.py:187: in is_valid_type
    return is_value_type(typeinfo) in {True, False}
onnxscript/type_annotation.py:145: in is_value_type
    if _is_tensor_type(typeinfo):
onnxscript/type_annotation.py:135: in _is_tensor_type
    if inspect.isclass(typeinfo) and issubclass(typeinfo, onnx_types.TensorType):
....../Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/abc.py:123: in __subclasscheck__
    return _abc_subclasscheck(cls, subclass)
E   TypeError: issubclass() arg 1 must be a class

::onnxscript.function_libs.torch_lib.ops.vision

Stack Traces | 0s run time

....../Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
<frozen importlib._bootstrap>:1050: in _gcd_import
    ???
<frozen importlib._bootstrap>:1027: in _find_and_load
    ???
<frozen importlib._bootstrap>:992: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:241: in _call_with_frames_removed
    ???
<frozen importlib._bootstrap>:1050: in _gcd_import
    ???
<frozen importlib._bootstrap>:1027: in _find_and_load
    ???
<frozen importlib._bootstrap>:1006: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:688: in _load_unlocked
    ???
<frozen importlib._bootstrap_external>:883: in exec_module
    ???
<frozen importlib._bootstrap>:241: in _call_with_frames_removed
    ???
.../torch_lib/ops/__init__.py:16: in <module>
    from . import (
.../torch_lib/ops/core.py:40: in <module>
    from onnxscript.function_libs.torch_lib.ops import common as common_ops
.../torch_lib/ops/__init__.py:16: in <module>
    from . import (
.../torch_lib/ops/core.py:961: in <module>
    def aten_atleast_1d_sequence(self: Sequence[TTensor]) -> TTensor:
.../function_libs/torch_lib/registration.py:131: in wrapper
    processed_func = onnxscript.script(opset=custom_opset)(func)
onnxscript/main.py:95: in transform
    result = script_check(f_ast, opset, env, src, default_opset=default_opset)
onnxscript/main.py:39: in script_check
    return convert.translate_function_def(f)
onnxscript/converter.py:1437: in translate_function_def
    fn_ir = self._translate_function_def_common(stmt)
onnxscript/converter.py:1422: in _translate_function_def_common
    _ = self._translate_function_signature_common(fn)
onnxscript/converter.py:1375: in _translate_function_signature_common
    if not ta.is_valid_type(typeinfo):
onnxscript/type_annotation.py:187: in is_valid_type
    return is_value_type(typeinfo) in {True, False}
onnxscript/type_annotation.py:145: in is_value_type
    if _is_tensor_type(typeinfo):
onnxscript/type_annotation.py:135: in _is_tensor_type
    if inspect.isclass(typeinfo) and issubclass(typeinfo, onnx_types.TensorType):
....../Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/abc.py:123: in __subclasscheck__
    return _abc_subclasscheck(cls, subclass)
E   TypeError: issubclass() arg 1 must be a class

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[Copilot]

Pull Request Overview

This PR formally drops Python 3.8 support by updating type annotations to use built‐in generic types and related modern idioms. Key changes include:

• Replacing Legacy typing generics (e.g. Tuple, List, Dict) with built‐in alternatives (e.g. tuple, list, dict) and updated imports from collections.abc.
• Consistent conversion of type hints across multiple files in the codebase to align with Python 3.9+ standards.

Reviewed Changes

Copilot reviewed 79 out of 79 changed files in this pull request and generated no comments.

File	Description
onnxscript/function_libs/torch_lib/ops/core.py	Updated type hint return types from Tuple[...] to tuple[...]
onnxscript/function_libs/torch_lib/graph_building/_graph_building_torch.py	Converted multiple type hints (Tuple, Dict, List) to built‐in generics and adjusted import sources
onnxscript/function_libs/tools/torch_lib/*.py	Changed usage of legacy typing generics to their built‐in versions (e.g. list, dict, etc.)
onnxscript/_internal/*.py and others	Updated type annotations and related imports to reflect modern Python syntax